Dear All,
I am currently working on a panel VAR with sign and zero restrictions as per Gambacorta et al. (2012) (http://www.bis.org/publ/work384.pdf). However, I have just one question: When using a Panel-VAR, are there specification issues associated with using an identical series in each of the cross-sectional (e.g. - country specific) VARs? e.g. - some kind of 'global' variable which may take the form of an index (which has the same values), which occurs in every system? I have a fear that this may create bias in the SUR estimator, but this could be unfounded.
Thanks for your time, any suggestions or comments are appreciated.
Panel VAR and 'global' series
Re: Panel VAR and 'global' series
I'm not sure I fully understand. Are you saying you want to do a panel VAR where one of the endogenous variables isn't individual-specific?
Re: Panel VAR and 'global' series
Hi Tom,
Yes, you are correct - is it possible to model a common endogenous variable across all systems, if its data generating process is approximated by the other variables specific to that cross-sectional system? I am looking to compare IRFs across regions, but some data is unavailable at a region specific level, and was thinking about approximating this by a national variable. In the case of the Gambacorta et al. (2012) paper, this might be thought of as a global volatility index measuring sentiment, or something similar to that. Is this going to create a huge problem, even if it is likely that each system is able to vaguely model the DGP of the common endogenous variable?
Many thanks
Yes, you are correct - is it possible to model a common endogenous variable across all systems, if its data generating process is approximated by the other variables specific to that cross-sectional system? I am looking to compare IRFs across regions, but some data is unavailable at a region specific level, and was thinking about approximating this by a national variable. In the case of the Gambacorta et al. (2012) paper, this might be thought of as a global volatility index measuring sentiment, or something similar to that. Is this going to create a huge problem, even if it is likely that each system is able to vaguely model the DGP of the common endogenous variable?
Many thanks